Application of 14 sensors for iNose electronic nose in oil

Shanghai Ruiqi International Trade Co., Ltd. shares the application of 14 sensors for iNose electronic nose in oil. For more information, please pay attention to the WeChat public account: isenso17.

1.

Figure 1 PCA analysis results of different vegetable oils

14 sensors of iNose electronic nose for the detection of vegetable oils from different sources and brands: better identification of vegetable oils from different sources, namely algae oil, linseed oil and sunflower oil; vegetable oil of different brands from the same source, ie The patterns of two kinds of algae oil and two kinds of sunflower oil have a certain aggregation tendency in the PCA classification map, which may be because the vegetable oils from different sources are heated to produce their own unique flavor substances, and the vegetable oils of the same source are heated to produce similar flavors. Sexual substance.

2.

Figure 2 PCA analysis results of soybean salad oil under different frying time

The 14-sensor iNose electronic nose quickly detects the quality of frying oil: It can be seen from the experimental data that the odor of frying oil is concentrated at 0-6 h; the change of scent of frying oil is small at 12-18 h. There is a certain degree of continuity and tends to change at 24h. In addition, 30h has been completely separated from the other groups, and the range of the previous groups has gradually become larger, indicating that the odor of the frying oil is more significant during this period, and the individual differences are relatively larger than the initial changes, which may be accompanied by frying. The extension of the bombing time is related to the gradual volatilization or degradation of the volatile main components. The iNose electronic nose of 14 sensors can be used to classify soybean salad oils at different frying times.

3.

Figure 3 PCA and LDA plots for different hybrid soybean oil and sesame oil

Qualitative identification of mixed oil by 14 sensors of iNose electronic nose: It can be seen from the experimental data that PCA and LDA can be well distinguished for sesame oil, soybean oil and a mixture of the two, LDA is slightly better than PCA. In particular, it can be seen from the PCA analysis chart that as the mixing ratio changes, the dispersion of various samples into a diagonal trend distribution may be due to the fact that the volatile components of the mixed fat have a continuous distribution with the mixing ratio. transformation.